Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Media
Zartis Tech Blog
From software industry research and insights to practical how-to guides — discover the tools you need to succeed in software development.
As Seen On
Highlights
How Zartis Helped Create Real-Time Power Management for a UK Smart EV Charging Company
Discover how Zartis engineers are helping a cleantech leader enable dynamic, data-driven EV charging solutions.
Zartis Makes Deloitte Fast 50 for the Sixth Year Running
We are thrilled to share that Zartis has ranked in Deloitte Technology Fast 50 Ireland for a sixth year running. A huge thanks to everyone!
Innovative Product Development for a UK-Based Energy Company
Contributing to cleantech product development and modernisation for a UK-based sustainable energy company
Search
The Future of Work with AI – Story of Software S04E39
Priya Mishra, Director of Technology at Carelon Global Solutions Ireland, brings a practitioner’s perspective on scaling innovation and preparing organisations for the future of work.
How Payment Platforms Scale: Real-Time Infrastructure & Zero-Tolerance Technical Debt
Explore how leading payment platforms scale reliably under extreme real-time demands, balancing rapid growth with compliance, and resilience.
Reducing LLM API Costs by 30% Through Strategic Text Preprocessing
Discover our empirical research on stopword removal cutting LLM input token costs by 30% while preserving up to 96% quality in RAG.
Setting Up Your First AI Team: A Leader’s Guide to Hiring, Structuring, and Outsourcing
A practical guide for modern business leaders on how to build, structure, and scale their first AI team with in-house and external resources.
AI in High-Stakes Industries: Lessons from Healthcare and Compliance
Discover how leading healthcare and regulatory firms responsibly adopt AI by prioritizing safety, human oversight, and verifiable trust in high-stakes industries.
Engineering Determinism: Practical Strategies for Reliable LLM Applications
Discover how engineering determinism transforms LLMs from unpredictable generators into reliable, production-ready systems.
The Geometry of Reasoning: A Technical Essay
How do different neural systems trained on different modalitiesconverge toward similar internal representations? Discover the math behind.
Leading Large-Scale Change & Building Motivated Teams – Story of Software S04E38
Richard Bell, Head of Engineering at CoinShares, shares insights on how to successfully lead large-scale transformations and build motivated teams.
Insights from our CEO: Keeping a Career in Software Relevant in the Age of AI
Dive into Padraig Coffey’s keynote on navigating an AI-driven software career and discover the vital skills to future-proof your job.
The Subtle Truth About Determinism and Variance in LLMs
Let’s deconstruct the myth of “randomness” in LLMs to get a technically grounded view – demonstrating engineered determinism.
Java’s Paradigm Shift: Embracing Data-Oriented Programming
Discover how Java has embraced Data-Oriented Programming (DOP), providing powerful, native tools to support it.
Why 2025 is the Year Tech Debt Becomes a Strategic Risk
Discover the hidden costs of tech debt; from slowed delivery to ballooning cloud spend. See what good architecture looks like in 2025 & beyond.
Context Engineering: State-of-The-Art Research
A practical industry report on context engineering—combining retrieval, memory, tools, and prompt design to scale and govern LLM and agent systems.
Cleantech Creators: Chris Bernkopf – Story of Software S04E37
Chris Bernkopf, CEO of Podero, shares how they help utilities optimise energy use and offers advice on growing in the cleantech sector.
Is Your Data AI-Ready? 3 Realities from Tech Leaders
AI adoption is accelerating, but is your data ready? Tech leaders reveal 3 realities, and only 29% are “very well prepared.”